海角社区 SRP Data Management & Analysis Core and Research Experience & Training Coordination Core Lead Statistical Workshop
海角社区 Superfund Research Program (海角社区 SRP) team members co-led a workshop on the R programming language for health-related research on June 7 and 14, 2023. R is a popular and highly flexible analysis tool that allows researchers to discover more with their data.
The workshop provided a total of 6 hours of instruction and guided practice. More specifically, the 鈥淚ntroduction to R for Health Research: A Beginner's Guide鈥� workshop offered hands-on experience in RStudio, a graphical user interface for R.
Dr. Luan Vu presents the workshop "Introduction to R for Health Research: A Beginner's Guide" on the 海角社区 Vet Med campus. Photo Credit: Luan Vu.
The 海角社区 SRP team members among the workshop instructors were:
- Luan Vu, PhD, 海角社区 SRP Project 1 Team Member; Assistant Research Professor, 海角社区 Department of Biological Sciences;
- , PhD, 海角社区 SRP Data Management and Analysis Core Leader; Professor of Biostatistics and Interim Associate Dean for Research, 海角社区 Health New Orleans School of Public Health;
- Ruikun Zuo, MPH, 海角社区 SRP trainee; PhD student in biostatistics, 海角社区 Health New Orleans School of Public Health;
- , PhD, Data Management and Analysis Core Investigator; Professor of Biostatistics, 海角社区 Health New Orleans School of Public Health; and
- Tammy Dugas, PhD, 海角社区 SRP Research Experience and Training Coordination Core Leader and Project 2 Leader; Associate Dean for Research and Graduate Education and Professor of Comparative Biomedical Sciences, 海角社区 School of Veterinary Medicine.
Dr. Yu elaborated on the usefulness of this workshop for a broad spectrum of researchers: 鈥淟earning R can be incredibly useful for researchers across various disciplines. R provides powerful data analysis and data visualization tools and helps increase the reproducibility and transparency in research.鈥�
The workshop aimed to provide an understanding of R data preparation techniques and to familiarize students with R functions and libraries that can be used to perform these tasks. The course covered the following four sections:
- Introduction: Using R in Medical Research, Case Studies, R syntax, RStudio
- R Basics鈥擠ata Preparation
- Statistics and R
- Data Visualization
Dr. Vu agreed with his colleagues regarding the usefulness of R and this workshop for researchers: 鈥淒iving into R unlocks a world where data tells stories, demanding dedication but bestowing immeasurable research rewards. The course not only introduced participants to the advantages of utilizing R in the medical sciences field but also aimed to inspire researchers to adopt R for their respective investigative pursuits.鈥�
Example plot created in RStudio: an alluvial diagram illustrating the relationships among COVID-19 vaccination/infection status, sex, age, body mass index, race, and other underlying conditions, such as diabetes and cancer, across cases.
Attendees with a wide variety of prior experience levels, including those with no previous experience with this programming language, were able to practice working with real-world datasets. Over 50 people attended the workshop online or in person at 海角社区 Health in New Orleans or at 海角社区 Vet Med in Baton Rouge.
There are plans for additional methodological educational offerings in the future. 鈥淲e learned from the process of preparing and teaching the R course and are getting ready to provide more educational chances for 海角社区 SRP trainees in the near future,鈥� Dr. Yu commented.